通用机器学习 · unsupervised and semisupervised learning论文趋势 2023–2026

主要结论

• 通用机器学习 · unsupervised and semisupervised learning论文从 2023 年的 649 篇增长到 2026 年的 799 篇，三年间扩大到约 1.2 倍。
• ICML 是发通用机器学习 · unsupervised and semisupervised learning论文最多的会议，2023–2026 年共 859 篇，占四个会议总量的 32%。
• 交叉方向里涨得最快的是深度学习 · self supervised learning：同时属于两个主题的论文从 2023 年的 23 篇增至 2026 年的 86 篇。
• 在「通用机器学习」的 6 个主题里，它的 2026 年论文数排第 1；同组增长最快的通用机器学习 · evaluation是 4.3 倍，通用机器学习 · unsupervised and semisupervised learning是 1.2 倍。

代表论文

按年份和会议均匀挑选，方便快速看到每一届的样貌

• NeurIPS 2026A general kernel framework for non-CND distance measures using $|\mathcal{D}|$-dimensional sparse landmark embeddings
• ICML 2026$\mu$pscaling small models: Principled warm starts and hyperparameter transfer
• ICLR 2026A Generalized Geometric Theoretical Framework of Centroid Discriminant Analysis for Linear Classification of Multi-dimensional Data
• CVPR 2026COG Confidence-aware Optimal Geometric Correspondence for Unsupervised Single-reference Novel Object
• NeurIPS 2025$O(\sqrt{T})$ Static Regret and Instance Dependent Constraint Violation for Constrained Online Convex Optimization
• ICML 2025A Square Peg in a Square Hole: Meta-Expert for Long-Tailed Semi-Supervised Learning
• ICLR 2025A General Framework for Producing Interpretable Semantic Text Embeddings
• CVPR 2025A General Adaptive Dual-level Weighting Mechanism for Remote Sensing Pansharpening
• NeurIPS 2024GlotCC: An Open Broad-Coverage CommonCrawl Corpus and Pipeline for Minority Languages
• ICML 2024CKGConv: General Graph Convolution with Continuous Kernels
• ICLR 2024A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks
• CVPR 2024Dual Prototype Attention for Unsupervised Video Object Segmentation
• NeurIPS 2023$H$-Consistency Bounds: Characterization and Extensions
• ICML 2023A Mathematical Model for Curriculum Learning for Parities
• ICLR 2023A General Framework For Proving The Equivariant Strong Lottery Ticket Hypothesis
• CVPR 2023A General Regret Bound of Preconditioned Gradient Method for DNN Training
• NeurIPS 2026Attention-based PCA
• ICML 2026A Control-Theoretic View of Mamba on Stability and Robustness
• ICLR 2026A Single Architecture for Representing Invariance Under Any Space Group
• CVPR 2026CROWn A Unified Framework for Anti-Aliased Downsampling and Phase-Calibrated Fusion

全部通用机器学习 · unsupervised and semisupervised learning论文

共 118 篇，第 1 / 3 页

1. NeurIPS 2024A Nearly Optimal and Low-Switching Algorithm for Reinforcement Learning with General Function Approximation
2. NeurIPS 2024Accelerating Greedy Coordinate Gradient and General Prompt Optimization via Probe Sampling
3. NeurIPS 2024Active Learning of General Halfspaces: Label Queries vs Membership Queries
4. NeurIPS 2024Adaptive Exploration for Data-Efficient General Value Function Evaluations
5. NeurIPS 2024Adversarial Representation Engineering: A General Model Editing Framework for Large Language Models
6. NeurIPS 2024Aligning Embeddings and Geometric Random Graphs: Informational Results and Computational Approaches for the Procrustes-Wasserstein Problem
7. NeurIPS 2024Approximately Equivariant Neural Processes
8. NeurIPS 2024ARC: A Generalist Graph Anomaly Detector with In-Context Learning
9. NeurIPS 2024Are Graph Neural Networks Optimal Approximation Algorithms?
10. NeurIPS 2024Articulate your NeRF: Unsupervised articulated object modeling via conditional view synthesis
11. NeurIPS 2024Beyond Redundancy: Information-aware Unsupervised Multiplex Graph Structure Learning
12. NeurIPS 2024CodeRosetta: Pushing the Boundaries of Unsupervised Code Translation for Parallel Programming
13. NeurIPS 2024Compositional PAC-Bayes: Generalization of GNNs with persistence and beyond
14. NeurIPS 2024Contextual Multinomial Logit Bandits with General Value Functions
15. NeurIPS 2024Corruption-Robust Linear Bandits: Minimax Optimality and Gap-Dependent Misspecification
16. NeurIPS 2024DA-Ada: Learning Domain-Aware Adapter for Domain Adaptive Object Detection
17. NeurIPS 2024Data-Efficient Operator Learning via Unsupervised Pretraining and In-Context Learning
18. NeurIPS 2024Differential Privacy in Scalable General Kernel Learning via $K$-means Nystr{\"o}m Random Features
19. NeurIPS 2024Diffusion-based Layer-wise Semantic Reconstruction for Unsupervised Out-of-Distribution Detection
20. NeurIPS 2024Directional Smoothness and Gradient Methods: Convergence and Adaptivity
21. NeurIPS 2024Discovering plasticity rules that organize and maintain neural circuits
22. NeurIPS 2024Disentangled Unsupervised Skill Discovery for Efficient Hierarchical Reinforcement Learning
23. NeurIPS 2024Dissect Black Box: Interpreting for Rule-Based Explanations in Unsupervised Anomaly Detection
24. NeurIPS 2024Do's and Don'ts: Learning Desirable Skills with Instruction Videos
25. NeurIPS 2024Embedding Dimension of Contrastive Learning and $k$-Nearest Neighbors
26. NeurIPS 2024Energy-Guided Continuous Entropic Barycenter Estimation for General Costs
27. NeurIPS 2024Expected Probabilistic Hierarchies
28. NeurIPS 2024Factorized Diffusion Architectures for Unsupervised Image Generation and Segmentation
29. NeurIPS 2024FedNE: Surrogate-Assisted Federated Neighbor Embedding for Dimensionality Reduction
30. NeurIPS 2024Flatten Anything: Unsupervised Neural Surface Parameterization
31. NeurIPS 2024From Unstructured Data to In-Context Learning: Exploring What Tasks Can Be Learned and When
32. NeurIPS 2024General Articulated Objects Manipulation in Real Images via Part-Aware Diffusion Process
33. NeurIPS 2024General bounds on the quality of Bayesian coresets
34. NeurIPS 2024General Detection-based Text Line Recognition
35. NeurIPS 2024GLinSAT: The General Linear Satisfiability Neural Network Layer By Accelerated Gradient Descent
36. NeurIPS 2024GlotCC: An Open Broad-Coverage CommonCrawl Corpus and Pipeline for Minority Languages
37. NeurIPS 2024GMAI-MMBench: A Comprehensive Multimodal Evaluation Benchmark Towards General Medical AI
38. NeurIPS 2024Graph Edit Distance with General Costs Using Neural Set Divergence
39. NeurIPS 2024Graph-based Unsupervised Disentangled Representation Learning via Multimodal Large Language Models
40. NeurIPS 2024GTA: A Benchmark for General Tool Agents
41. NeurIPS 2024How Does Variance Shape the Regret in Contextual Bandits?
42. NeurIPS 2024Identify Then Recommend: Towards Unsupervised Group Recommendation
43. NeurIPS 2024Identifying General Mechanism Shifts in Linear Causal Representations
44. NeurIPS 2024Identifying Selections for Unsupervised Subtask Discovery
45. NeurIPS 2024ImageNet3D: Towards General-Purpose Object-Level 3D Understanding
46. NeurIPS 2024Improved Guarantees for Fully Dynamic $k$-Center Clustering with Outliers in General Metric Spaces
47. NeurIPS 2024Improving Environment Novelty Quantification for Effective Unsupervised Environment Design
48. NeurIPS 2024IncomeSCM: From tabular data set to time-series simulator and causal estimation benchmark
49. NeurIPS 2024Injecting Undetectable Backdoors in Obfuscated Neural Networks and Language Models
50. NeurIPS 2024InversionView: A General-Purpose Method for Reading Information from Neural Activations

常见问题

2023–2026 年四大会议一共有多少篇通用机器学习 · unsupervised and semisupervised learning论文？

共 2,683 篇，按年份分别是 2023 年 649 篇、2024 年 553 篇、2025 年 682 篇、2026 年 799 篇。

NeurIPS 2026 有多少篇通用机器学习 · unsupervised and semisupervised learning论文？

NeurIPS 2026 有 194 篇通用机器学习 · unsupervised and semisupervised learning论文，上一届是 203 篇。

ICLR 2026 有多少篇通用机器学习 · unsupervised and semisupervised learning论文？

ICLR 2026 有 187 篇通用机器学习 · unsupervised and semisupervised learning论文，上一届是 174 篇。

ICML 2026 有多少篇通用机器学习 · unsupervised and semisupervised learning论文？

ICML 2026 有 348 篇通用机器学习 · unsupervised and semisupervised learning论文，上一届是 239 篇。

CVPR 2026 有多少篇通用机器学习 · unsupervised and semisupervised learning论文？

CVPR 2026 有 70 篇通用机器学习 · unsupervised and semisupervised learning论文，上一届是 66 篇。

哪个会议的通用机器学习 · unsupervised and semisupervised learning论文最多？

ICML，2023–2026 年共 859 篇。